data_types_internal.h File Reference

#include <array>
#include <cassert>
#include <cstdint>
#include <string>
#include <type_traits>
#include <vector>
#include "boost/mp11.hpp"
#include "core/common/common.h"
#include "core/framework/to_tensor_proto_element_type.h"
#include "core/common/type_list.h"
#include "core/framework/data_types.h"
#include "core/graph/onnx_protobuf.h"

Include dependency graph for data_types_internal.h:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Classes
class	onnxruntime::utils::mltype_dispatcher_internal::CallableDispatchableHelper
struct	onnxruntime::utils::mltype_dispatcher_internal::UnsupportedTypeDefaultPolicy< Ret >
class	onnxruntime::utils::mltype_dispatcher_internal::CallableDispatchableRetHelper< Ret, UnsupportedPolicy >
class	onnxruntime::utils::MLTypeCallDispatcher< Types >
class	onnxruntime::utils::data_types_internal::TypeNode
class	onnxruntime::utils::ContainerChecker

Namespaces
	onnxruntime
	onnxruntime::utils
	onnxruntime::utils::mltype_dispatcher_internal
	onnxruntime::utils::data_types_internal

Macros
#define	DispatchOnTensorType(tensor_type, function,...)
#define	DispatchOnTensorTypeWithReturn(tensor_type, retval, function,...)

Typedefs
template<typename T >
using	onnxruntime::utils::mltype_dispatcher_internal::TensorProtoElementTypeConstant = std::integral_constant< ONNX_NAMESPACE::TensorProto_DataType, ToTensorProtoElementType< T >()>
using	onnxruntime::utils::mltype_dispatcher_internal::UndefinedTensorProtoElementTypeConstant = std::integral_constant< ONNX_NAMESPACE::TensorProto_DataType, ONNX_NAMESPACE::TensorProto_DataType_UNDEFINED >
template<typename L >
using	onnxruntime::utils::MLTypeCallDispatcherFromTypeList = boost::mp11::mp_apply< MLTypeCallDispatcher, L >

Enumerations
enum	onnxruntime::utils::data_types_internal::ContainerType : uint16_t {   onnxruntime::utils::data_types_internal::ContainerType::kUndefined = 0, onnxruntime::utils::data_types_internal::ContainerType::kTensor = 1, onnxruntime::utils::data_types_internal::ContainerType::kMap = 2, onnxruntime::utils::data_types_internal::ContainerType::kSequence = 3,   onnxruntime::utils::data_types_internal::ContainerType::kOpaque = 4, onnxruntime::utils::data_types_internal::ContainerType::kOptional = 5 }

Functions
bool	onnxruntime::utils::IsDataTypeString (MLDataType dt_type)
	Use the following primitives if you have a few types to switch on so you. More...
template<class T >
bool	onnxruntime::utils::IsPrimitiveDataType (MLDataType dt_type)
template<class T >
bool	onnxruntime::utils::IsPrimitiveDataType (const PrimitiveDataTypeBase *prim_type)
bool	onnxruntime::utils::IsOpaqueType (MLDataType ml_type, const char *domain, const char *name)

Macro Definition Documentation

#define DispatchOnTensorType	(		tensor_type,
			function,
			...
	)

Definition at line 40 of file data_types_internal.h.

#define DispatchOnTensorTypeWithReturn	(		tensor_type,
			retval,
			function,
			...
	)

Definition at line 100 of file data_types_internal.h.